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Contact

Skills

R, Shiny, Git, ArcGIS,
QGIS, Leaflet, LaTeX,
bookdown, blogdown,
Python, SQL, Excel,
Stan, JAGS, Hugo,
Adobe Creative Suite

Interests

Spatio-temporal statistics
Public transit
Urban planning
RShiny development
Reproducible research
Open source, open data
Visualization & design
Civic engagement

Disclaimer

Source code: github.com/ravenmcknight/cv.

Main

Raven McKnight

Statistician and data scientist seeking opportunity to engage in meaningful research & discovery for social good. I have worked on projects with Metro Transit, Saint Paul City Council, and The National Gallery of Art.

Education

B.A., Applied Math & Statistics

Macalester College

Saint Paul, MN

2020 - 2016

  • Honors Thesis: Space, Time, Transit: A Spatio-temporal Model of Bus Ridership in the Twin Cities
  • Minors in Geography & Creative Writing
  • Key coursework: Bayesian Statistics, Correlated Data, Statistical Machine Learning, Computational Linear Algebra, Urban GIS, 2D Design

Work Experience

Research & Analytics Data Science Intern

Metro Transit

Minneapolis, MN

2019

  • Working to update Metro Transit’s Transit Market Areas in a practical, statistically rigorous manner
  • Support internal data requests, visualization, and Shiny app development
  • Facilitating collaboration with Macalester students to complete data science projects

Office Assistant

Macalester College

Saint Paul, MN

2019 - 2018

  • Work in the Mathematics, Statistics, and Computer Science department office
  • Assist with department-wide event planning & daily secretarial tasks

Selected Projects

Data Science Researcher

National Gallery of Art

Remote

2019

  • Conducted data science research to analyze the Gallery’s collection data
  • Presented findings at the Gallery as the only undergratuate team

Saint Paul 3K Initiative

Saint Paul City Council

Saint Paul, MN

2019

  • Class project to support Saint Paul City Councilmember efforts to provide affordable, accessible childcare to all 3- and 4-year old children in Saint Paul through data visualization and GIS
  • Conduct primary data collection to develop database of existing childcare centers

Teaching Experience

I love teaching and learning about pedagogy. I enjoy writing accessible tutorials for my peers and encouraging more women and typically underrepresented students to pursue statistics and data science!

Teaching Assistant

Macalester College

Saint Paul, MN

2019 - 2018

  • Linear Algebra, Spring 2018, Fall 2018
  • Applied Multivariable Calculus 1, Spring 2019
  • Correlated Data (senior capstone course), Fall 2019

Instructor

Cow Tipping Press

Minneapolis, MN

2017

  • Taught a radically inclusive writing workshop for adults with developmental disabilities
  • Developed engaging lessons for students with diverse backgrounds & abilities
  • Published student work and held successful public reading

Volunteering & Service

Hiring Committee Member

Macalester College

Saint Paul, MN

2019 - 2018

  • Recruited to be an equal voting member in the hiring process for mathematics, statistics, and computer science professors
  • Evaluate job applications, conduct interviews, and coordinate student involvement in campus visits
  • Participated in two successful and one ongoing search

Class Agent

Macalester College

Saint Paul, MN

2019

  • Nominated to be an agent and encourage students & alum to donate to Macalester in support of financial aid

Facilitator

Macalester College Data Science for Social Good

Saint Paul, MN

2019

  • Co-run Macalester’s Data Science for Good Group
  • Develop instructional material for students being introduced to “real world” data
  • Connect students to community partners and facilitate projects

Committee Member

Macalester Women in Math, Statistics, and Computer Science

Saint Paul, MN

2018

  • Encourage gender diversity in Math, Statistics, and Computer Science through networking and professional development

Macalester Mentor

Macalester College

Saint Paul, MN

2017 - 2016

  • Mentored low-income, first-generation high school students through the college application process

Talks & Presentations

Intention in Acquisition

National Gallery of Art

Washington, DC

2019

  • Presentation of a robust Shiny app and key takeaways at Coding Our Collection: The National Gallery of Art Datathon